เปรียบเทียบวิธี
ดูวิธีที่เลือกเทียบกันแบบเคียงข้าง แถวที่ต่างกันจะถูกเน้นไว้
| การศึกษากรณี-กลุ่มควบคุมที่ปรับค่าความเสี่ยง× | การศึกษาแบบจับคู่กรณี-ควบคุม× | |
|---|---|---|
| สาขาวิชา | ระบาดวิทยา | ระบาดวิทยา |
| ตระกูล | Process / pipeline | Process / pipeline |
| ปีกำเนิด≠ | 1950s–1980s (case-control design from 1950; risk-adjustment conventions established by 1980s) | 1950s–1970s |
| ผู้ริเริ่ม≠ | Doll & Hill (foundational case-control); risk adjustment via multivariate logistic regression systematised by Schlesselman (1982) and Breslow & Day (1980) | Brian MacMahon and others; systematised by Schlesselman (1982) |
| ประเภท≠ | Observational analytic study design | Observational analytic design |
| แหล่งต้นตำรับ≠ | Schlesselman, J. J. (1982). Case-Control Studies: Design, Conduct, Analysis. Oxford University Press. ISBN: 978-0195029697 | Rothman, K. J., Greenland, S., & Lash, T. L. (2008). Modern Epidemiology (3rd ed.). Lippincott Williams & Wilkins. ISBN: 978-0781755474 |
| ชื่อเรียกอื่น | adjusted case-control study, covariate-adjusted case-control, risk-stratified case-control study, matched and adjusted case-control study | matched case-referent study, individually matched case-control, pair-matched case-control, matched case-control design |
| ที่เกี่ยวข้อง | 5 | 5 |
| สรุป≠ | A risk-adjusted case-control study is an observational design that identifies individuals with a disease outcome (cases) and comparable individuals without it (controls), then uses statistical adjustment — most commonly multivariable logistic regression — to estimate the association between an exposure and the outcome while controlling for confounding risk factors. The adjustment step is what distinguishes this variant from a simple case-control study, producing odds ratios that better reflect the independent contribution of the exposure of interest. | A matched case-control study is an observational epidemiological design in which each case (a person with the disease or outcome of interest) is paired with one or more controls (persons without the outcome) who share one or more characteristics — such as age, sex, or clinical setting — to control confounding. Exposure history is then compared between cases and their matched controls to estimate the odds ratio of the exposure-disease association. |
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